An automatic pre-processing pipeline for EEG analysis (APP) based on robust statistics

@article{Cruz2018AnAP,
  title={An automatic pre-processing pipeline for EEG analysis (APP) based on robust statistics},
  author={J. R. D. Cruz and V. Chicherov and M. Herzog and P. Figueiredo},
  journal={Clinical Neurophysiology},
  year={2018},
  volume={129},
  pages={1427-1437}
}
OBJECTIVE With the advent of high-density EEG and studies of large numbers of participants, yielding increasingly greater amounts of data, supervised methods for artifact rejection have become excessively time consuming. Here, we propose a novel automatic pipeline (APP) for pre-processing and artifact rejection of EEG data, which innovates relative to existing methods by not only following state-of-the-art guidelines but also further employing robust statistics. METHODS APP was tested on… Expand
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